Tencent Data Scientist Interview Questions
The questions to prepare for a Tencent Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
TencentUse CTEs, joins, and monthly aggregation to measure cohort activity trends and classify engagement over time.
Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.
Atlassian
RevolutDefine a success metric for a new feature that captures real user value, not just raw usage.
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Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.
TencentAnalyze where users drop off in a product funnel and identify the biggest conversion leak.
TencentDefine the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.
TencentExplain how to reduce memory usage and stabilize a Pandas-based batch pipeline that is failing on larger inputs.
TencentPick the right metrics to evaluate a machine learning model and explain why they fit the problem.
TencentTests your ability to model and optimize graph-based recommendation systems.
Tencent